The ability of FGDs to utilize group interactions for exploring people's perceptions at societal level makes this method of data collection suitable for investigating community perceptions of sexual violence in their cultural context [ 37, 41].
Finally, the potential clinical impact of these approaches and how they are utilized for in vivo systems are explored.
However, in the world of nanostructures, there are still many effects just waiting to be explored and utilized for new applications.
So far, only a few systems have been explored and utilized for plant genome manipulation.
We utilized Arabidopsis 70mer oligonucleotide microarrays for exploring gene expression in three resynthesized B. napus lineages at the S0∶1 and S5∶6 generations as well as their diploid progenitors B. rapa and B. oleracea.
In this article, we first discuss some of the challenges associated with predictable supramolecular synthesis and highlight useful methods for exploring and utilizing existing crystallographic data such as the Cambridge Structural Database, IsoStar, and hydrogen-bond propensities.
To further examine the trade-off between performance (schedule length) and leakage waste, we propose a framework to utilize the Genetic Algorithm (GA) for exploring the design space and obtaining Pareto optimal design points.
For the global minimum search, we utilize a genetic algorithm (GA) for exploring the configuration space.
Such symmetries can then be utilized to explore for new closed form solutions.
